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Hadoop-based intelligent medical data management method

A technology of medical data and management methods, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of inaccessibility, low security of medical data, poor scalability, etc., and achieve improved storage management reliability, Good storage scalability and optimized storage methods

Inactive Publication Date: 2013-05-22
JIANGSU R & D CENTER FOR INTERNET OF THINGS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the main storage methods include centralized storage and distributed storage. Centralized storage is easier to manage, but has high cost, poor scalability, and limited performance. Distributed storage has good scalability, low cost, and better performance. , but not easy to manage
[0008] 2. Low security of medical data
Medical data is generally stored in the local storage system without a complete backup system. Once the security of the storage system or the local storage device fails, the medical data will be permanently lost and cannot be obtained
[0009] 3. Medical data is difficult to share
The medical data of patients going to the hospital, the diagnosis and treatment information of telemedicine consultation, and the user's private health file information cannot be obtained anytime and anywhere, and can be obtained as a service for authorized users, which is difficult to share and repeated inspection
Medical data is stored in hospitals, community clinics, or users’ local servers, and cannot be accessed from the outside. When a patient sees a doctor, the accumulated medical data cannot be obtained and cannot be used as a reference

Method used

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  • Hadoop-based intelligent medical data management method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0097] Embodiment 1: The user username uploads 100 CT images at time time. This example describes the storage method of unstructured data. The specific steps are as follows:

[0098] (1) Modify the file name in the format of username_time_medical item name_[number], and the file names are username_time_CT_001, username_time_CT_002, username_time_CT_003...username_time_CT_100. The user accesses the unstructured data access interface, invokes the unstructured data access service provided by the cloud storage platform, and makes an unstructured data storage request to the cloud storage platform.

[0099] (2) The cloud storage platform stores the uploaded data in the transit server under the username_time folder directory. At the same time, initialize the Hadoop distributed file system HDFS, query whether there is a / username directory in the system, if it exists, go to (3), otherwise create a / username directory in the HDFS system.

[0100] (3) Create three subdirectories / image...

Embodiment 2

[0102] Embodiment 2: The CT picture detected when the user username checks the time time, this example describes the query and acquisition method of unstructured data, and the specific steps are as follows:

[0103] (1) The user accesses the unstructured data access interface, invokes the unstructured data access service provided by the cloud storage platform, and sends a data read request to the cloud storage platform; the request parameter is username_time_CT.

[0104] (2) Extract the username and other information in the request, and create a folder named username in the transit server.

[0105] (3) Read relevant data from HDFS according to the request, save it in the username folder of the transit server, and wait for the user to extract it.

[0106] (4) The user extracts relevant data from the username folder of the transit server.

Embodiment 3

[0107] Embodiment 3: User username checks the structured medical information at the time time. This example describes the query and acquisition method of structured data. The specific steps are as follows:

[0108] (1) The user accesses the structured data access interface, invokes the structured data access service provided by the cloud storage platform, and sends a data read request to the cloud storage platform; the request parameter is username_time_S_D.

[0109] (2) The cloud storage platform extracts username, time and other information from the request;

[0110] (3) If the data in the relational database is exported and saved to an export file every other year, call the HDFS API to store the export file in HDFS. Then judge whether the time is within the past year, if so, find relevant data that meets the requirements from the relational database, and return it to the user; if not, first search for the file data that meets the requested information from the / S_D director...

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Abstract

The invention provides a Hadoop-based intelligent medical data management method. The method includes storage of medical data, and query and acquisition. Storage of the medical data includes unstructured data storage and structured data storage. Query and acquisition of the medical data includes unstructured data query and acquisition and structured data query and acquisition. Reliability in storage and management of the medical data is higher, and storage extensibility of the medical data is fine. Picture storage manner is optimized. The medical data are allowed for query and sharing. Recent structure data are stored in a relational database first, so that timeliness in accessing related data is improved. Long-ago data in the relational database are converted into files stored in an HDFS (Hadoop distributed file system) at fixed time, so that distributed storage of the structured data is achieved and high reliability is realized. The Hadoop-based intelligent medical data management method is applicable to management and storage of medical data.

Description

technical field [0001] The invention relates to a data management storage and query method, in particular to a Hadoop-based intelligent medical data management method. Background technique [0002] In recent years, the rise of the Internet of Things has brought about the third wave of the information industry, which has been applied and developed in the fields of intelligent transportation, intelligent logistics, food traceability, public safety, and urban intelligent construction. Among them, smart medical care is also an important application. field. Smart healthcare uses advanced Internet of Things and cloud computing technologies to realize the interaction between patients and medical staff, medical institutions, and medical equipment, and to realize the residents' medical treatment mode of "minor illness in the community, serious illness in the hospital, and rehabilitation back to the community". With the development of medical informatization and the widespread use of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F19/00
Inventor 盛芳菲郎宝军张韧满伟鹏
Owner JIANGSU R & D CENTER FOR INTERNET OF THINGS
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